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Mohanram G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. Companies have higher G-score tends to generate higher return. According to his study, the best growth stocks that have a G-Score greater than 6 tend to beat the market, while those with a G-Score lower than 1 tend to have negative absolute returns.
Thus, the zones of discrimination were as such:
Good or high score = 6, 7, 8
Bad or low score = 0, 1
Burlington Stores has an G-score of 1. It is a bad or low score, which tends to have negative absolute returns.
The historical rank and industry rank for Burlington Stores's Mohanram G-Score or its related term are showing as below:
During the past 13 years, the highest Piotroski G-score of Burlington Stores was 6. The lowest was 1. And the median was 5.
The historical data trend for Burlington Stores's Mohanram G-Score can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
Burlington Stores Annual Data | |||||||||||||||||||||
Trend | Jan16 | Jan17 | Jan18 | Jan19 | Jan20 | Jan21 | Jan22 | Jan23 | Jan24 | Jan25 | |||||||||||
Mohanram G-Score | Get a 7-Day Free Trial |
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5.00 | 5.00 | 5.00 | 6.00 | 1.00 |
Burlington Stores Quarterly Data | ||||||||||||||||||||
Apr20 | Jul20 | Oct20 | Jan21 | Apr21 | Jul21 | Oct21 | Jan22 | Apr22 | Jul22 | Oct22 | Jan23 | Apr23 | Jul23 | Oct23 | Jan24 | Apr24 | Jul24 | Oct24 | Jan25 | |
Mohanram G-Score | Get a 7-Day Free Trial |
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6.00 | 5.00 | 6.00 | 6.00 | 1.00 |
For the Apparel Retail subindustry, Burlington Stores's Mohanram G-Score, along with its competitors' market caps and Mohanram G-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
For the Retail - Cyclical industry and Consumer Cyclical sector, Burlington Stores's Mohanram G-Score distribution charts can be found below:
* The bar in red indicates where Burlington Stores's Mohanram G-Score falls into.
The calculation of the Mohanram G-score consists of eight criteria. Assign one point for each criterion met, then add up all the points to get the G-Score.
Profitability
Question 1. Return on Assets (ROA)
ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. It measures how well a company uses its asset to generate earnings.
Score 1 if ROA > ROA Industry Median, 0 otherwise.
Question 2. Cash ROA
Cash ROA equals to Cash Flow from Operations divided by average Total Assets. It measures how well a company uses its asset to generate cash.
Score 1 if Cash ROA > Cash ROA Industry Median, 0 otherwise.
Question 3. CFO and Net Income
Score 1 if CFO > Net Income, 0 otherwise.
Earnings Predictability
Question 4. Earnings Variability
Earnings Variability is measured as the variance of a firm's ROA in the past five years.
Score 1 if Earnings Variability < Earnings Variability Industry Median, 0 otherwise.
Question 5. Sales Growth Variability
Sales Growth Variability is measured as the 5-year variance in sales growth.
Score 1 if Sales Growth Variability < Sales Growth Variability Industry Median, 0 otherwise.
Accounting Conservatism
Question 6. Research & Development Intensity
Research & Development Intensity is calcualted by Research & Development divided by the beginning Total Assets.
Score 1 if Research & Development Intensity > Research & Development Intensity Industry Median, 0 otherwise.
Question 7. CAPEX Intensity
CAPEX Intensity is calcualted by Capital Expenditure divided by the beginning Total Assets.
Score 1 if CAPEX Intensity > CAPEX Intensity Industry Median, 0 otherwise.
Question 8. Advertising Expenditure Intensity
Advertising Expenditure Intensity is calcualted by Advertising Expenditure divided by the beginning Total Assets. Note that Advertising Expenditure is not reported as a seperate line item for many companies, thus Selling, General, & Admin. Expense is used in this calculation.
Score 1 if Advertising Expenditure Intensity > Advertising Expenditure Intensity Industry Median, 0 otherwise.
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
* Note that all the Industry Median used for comparison in his original research, are substituted with Sector Median due to the limitation of data within certain countries.
Good or high score = 6, 7, 8
Bad or low score = 0, 1
Burlington Stores has an G-score of 1. It is a bad or low score, which tends to have negative absolute returns.
Burlington Stores (NYSE:BURL) Mohanram G-Score Explanation
Partha Mohanram is the John H. Watson Chair in Value Investing at Rotman and the Acting Vice-Dean of Research Strategy and Resources.
In 2000, he wrote a research paper called "Separating Winners from Losers Among Low Book-to-Market Stocks Using Financial Statement Analysis".
This paper tests whether a strategy based on financial statement analysis of low book-to-market (growth) stocks is successful in differentiating between winners and losers in terms of future stock performance. Based on the research, a strategy based on buying high G-score (6, 7 or 8) firms and shorting low G-score (0 or 1) firms consistently earns significant excess returns. Further, the results do not support a risk based explanation for the book-to-market effect as the strategy returns positive returns in all years, and firms that ex-ante appear less risky have better future returns.
To conclude, one can use a modified fundamental analysis strategy (G-score) to identify mispricing and earn substantial abnormal returns.
Thank you for viewing the detailed overview of Burlington Stores's Mohanram G-Score provided by GuruFocus.com. Please click on the following links to see related term pages.
Jennifer Vecchio | officer: President and CMO | 2006 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
Travis Marquette | officer: President and COO | 2006 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
Paul Sullivan | director | 1830 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
William P Mcnamara | director | |
Jeffrey Laub | officer: SVP, Finance and CAO | C/O BURLINGTON COAT FACTORY WAREHOUSE CO, 1830 ROUTE 130, BURLINGTON NJ 08016 |
Kristin Wolfe | officer: Chief Financial Officer | C/O BURLINGTON STORES, INC., 1830 ROUTE 130, BURLINGTON NJ 08016 |
Mike Metheny | officer: Executive Vice President | 1830 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
Dennis Hodgson | officer: EVP CIO | 2006 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
Michael R Allison | officer: EVP CHRO | 6600 NORTH MILITARY TRAIL, LEGAL DEPARTMENT, BOCA RATON FL 33496 |
Joyce Manning Magrini | officer: Executive Vice President | C/O FINLAY ENTERPRISES, INC., 529 FIFTH AVENUE, ATTN: LEGAL DPT., NEW YORK NY 10017 |
Michael Goodwin | director | 2006 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
Fred Hand | officer: Chief Customer Officer | 1830 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
John Crimmins | officer: Chief Financial Officer | 1830 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
Thomas Kingsbury | director, officer: President & CEO | 2006 ROUTE 130 NORTH, BURLINGTON NJ 08016 |
O Sullivan Michael B | director, officer: Chief Executive Officer | 5130 HACIENDA DRIVE, DUBLIN CA 94568 |
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